A Self Healing Model Based on Polymer-Mediated Chromophore Correlations

TL;DR

This paper introduces a model for self-healing in polymer-doped chromophore systems, linking microscopic correlations to macroscopic recovery, validated by experimental data and capable of predicting temperature effects.

Contribution

The model uniquely predicts self-healing dynamics using a correlation volume approach with only three parameters, applicable across different material systems.

Findings

Accurately predicts decay and recovery of chromophore populations

Matches experimental data with minimal parameters

Forecasts temperature dependence of self-healing process

Abstract

Here we present a model of self healing in which correlations between chromophores, as mediated by the polymer, are key to the recovery process. Our model determines the size distribution of the correlation volume using a grand canonical ensemble through a free energy advantage parameter. Choosing a healing rate that is proportional to the number of undamaged molecules in a correlated region, and a decay rate proportional to the intensity normalized to the correlation volume, the ensemble average is shown to correctly predict decay and recovery of the population of disperse orange 11-DO11 (1-amino-2-methylanthraquinone) molecules doped in PMMA polymer as a function of time and concentration as measured with amplified spontaneous emission and linear absorption spectroscopy using only three parameters that apply to the full set of data. Our model also predicts the temperature dependence of the process. One set of parameters should be characteristic of a particular polymer and dopant chromophore combination. Thus, use of the model in determining these parameters for various materials systems should provide the data needed to test fundamental models of the underlying mechanism responsible for self healing.